Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling | Paper Citation Record

Observation 08440abf-e60f-4d1e-9a80-f6e8106fc80b · outbound

This paper cites score_models: A repository to store state of the art score model architectures.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling score_models: A repository to store state of the art score model architectures

Reference 1

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This paper cites Anderson.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Anderson

Reference 2

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This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 3

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This paper cites Predictive microstructure image gener- ation using denoising diffusion probabilistic models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Predictive microstructure image gener- ation using denoising diffusion probabilistic models

Reference 4

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This paper cites Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein

Reference 5

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This paper cites Dynamics of fluids in porous media.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Dynamics of fluids in porous media

Reference 6

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This paper cites Pore-scale imaging and modelling.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Pore-scale imaging and modelling

Reference 7

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This paper cites 3D mapping of water in oolithic limestone at atmospheric and vacuum saturation using x-ray micro-ct differential imaging.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling 3D mapping of water in oolithic limestone at atmospheric and vacuum saturation using x-ray micro-ct differential imaging

Reference 8

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This paper cites Investigating the relative permeability behavior of microporosity-rich carbonates and tight sandstones with multiscale pore network models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Investigating the relative permeability behavior of microporosity-rich carbonates and tight sandstones with multiscale pore network models

Reference 9

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This paper cites Deformation and fracture mechanisms in fine-and ultrafine-grained ferrite/martensite dual-phase steels and the effect of aging.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Deformation and fracture mechanisms in fine-and ultrafine-grained ferrite/martensite dual-phase steels and the effect of aging

Reference 10

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Observation ec4f62a9-b714-4b48-93e8-ca61cc9f589e · outbound

This paper cites A continuous time framework for discrete denoising models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling A continuous time framework for discrete denoising models

Reference 11

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Observation 0d426428-3d2b-4480-b4b7-961f46138c83 · outbound

This paper cites Gillespie, and Linda R.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gillespie, and Linda R

Reference 12

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Observation f84c90a4-b364-4bc9-9fa6-5e2c9e845309 · outbound

This paper cites Gillespie, and Linda R.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gillespie, and Linda R

Reference 13

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This paper cites Vlachos, and Markos A.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Vlachos, and Markos A

Reference 14

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Observation fa4f7ce8-1559-40f8-bc57-42585e4bb8a2 · outbound

This paper cites Score-based diffusion models for accelerated MRI.Medical Image Analysis, 80:102479, August 2022.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Score-based diffusion models for accelerated MRI.Medical Image Analysis, 80:102479, August 2022

Reference 15

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Observation 70f16b90-af75-48cb-a7f7-23d4ceca9743 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 16

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Observation b7006b0f-6cbd-4c29-8c77-38aba3dbb0cf · outbound

This paper cites Improving Diffusion Models for Inverse Problems using Manifold Constraints.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 17

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Observation 67897444-b1b3-440e-9921-aa619d43c07e · outbound

This paper cites Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

Reference 18

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This paper cites High-resolution x-ray computed tomography in geosciences: A review of the current technology and applications.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling High-resolution x-ray computed tomography in geosciences: A review of the current technology and applications

Reference 19

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Observation 35621ea6-613a-4bf2-9528-c6ed399f8e2b · outbound

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Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 20

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Observation a31c249f-628d-4908-83cc-ec132b2c04db · outbound

This paper cites Courant, K.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Courant, K

Reference 21

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This paper cites Recent progress on advanced imaging techniques for lithium-ion batteries.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Recent progress on advanced imaging techniques for lithium-ion batteries

Reference 22

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Observation 9a864d03-418f-4183-8693-83a142b90687 · outbound

This paper cites CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, March 2024.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, March 2024

Reference 23

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Observation 88297bd8-b9ad-48f2-8703-d10486369527 · outbound

This paper cites Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations

Reference 24

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Observation 0d34c959-a8c0-4fce-ada6-b241e835e533 · outbound

This paper cites Conditional diffusion-based microstructure reconstruction.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Conditional diffusion-based microstructure reconstruction

Reference 25

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This paper cites Über die von der molekularkinetischen Theorie der Wärme geforderte Bewe- gung von in ruhenden Flüssigkeiten suspendierten Teilchen.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Über die von der molekularkinetischen Theorie der Wärme geforderte Bewe- gung von in ruhenden Flüssigkeiten suspendierten Teilchen

Reference 26

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This paper cites User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Reference 27

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This paper cites Gardiner.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gardiner

Reference 28

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Observation 050fe9b0-e147-49b3-9b33-69a9017552b8 · outbound

This paper cites Pores for thought: generative adversarial networks for stochastic reconstruction of 3d multi-phase electrode microstructures with periodic boundaries.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Pores for thought: generative adversarial networks for stochastic reconstruction of 3d multi-phase electrode microstructures with periodic boundaries

Reference 29

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This paper cites A general method for numerically simulating the stochastic time evolution of coupled chemical reactions.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling A general method for numerically simulating the stochastic time evolution of coupled chemical reactions

Reference 30

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This paper cites Gillespie.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gillespie

Reference 31

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This paper cites Gillespie and Linda R.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gillespie and Linda R

Reference 32

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This paper cites Exact Spatiotemporal Dynamics of Confined Lattice Random Walks in Arbitrary Dimensions: A Century after Smoluchowski and P\’olya.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Exact Spatiotemporal Dynamics of Confined Lattice Random Walks in Arbitrary Dimensions: A Century after Smoluchowski and P\’olya

Reference 33

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Observation 91e7029d-b9cd-44bd-be48-382b7a717d36 · outbound

This paper cites Porespy: A python toolkit for quantitative analysis of porous media images.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Porespy: A python toolkit for quantitative analysis of porous media images

Reference 34

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Observation d559dfce-61a5-48f1-a9a6-dc4e91e6e106 · outbound

This paper cites Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

Reference 35

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This paper cites Denoising diffusion probabilistic models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Denoising diffusion probabilistic models

Reference 36

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This paper cites Grainpaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Grainpaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects

Reference 37

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Observation e343c3a8-e5c5-4cbf-8cb3-8b8698d51fdd · outbound

This paper cites Blurring Diffusion Models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Blurring Diffusion Models

Reference 38

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Observation bdaa3dea-3e03-42b3-9bc6-084e08d3ca90 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 39

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Observation 01d9d2f8-5ce1-49cc-862a-5b9c24d3e258 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Planning with Diffusion for Flexible Behavior Synthesis

Reference 40

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Observation b2923d0c-d95d-4f2c-a92d-533c9b73a3ea · outbound

This paper cites Taufactor 2: A gpu accelerated python tool for microstructural analysis.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Taufactor 2: A gpu accelerated python tool for microstructural analysis

Reference 41

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Observation 79474b0d-3c1b-42d3-be5b-ceb0d6b3687b · outbound

This paper cites Kingma and Max Welling.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Kingma and Max Welling

Reference 42

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This paper cites Learning multiple layers of features from tiny images.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Learning multiple layers of features from tiny images

Reference 43

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Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 44

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Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 45

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Observation 98666c44-8ce9-405f-b92c-763a8233ec4d · outbound

This paper cites Microstructure reconstruction using diffusion-based genera- tive models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Microstructure reconstruction using diffusion-based genera- tive models

Reference 46

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Observation a7990fbb-3d04-428b-a3ec-33967823bed2 · outbound

This paper cites A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models

Reference 47

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This paper cites Simplified porosity measurements.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Simplified porosity measurements

Reference 48

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Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 49

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Observation 75b9b576-47ea-4a95-aad6-8e174a6813c1 · outbound

This paper cites Deep learning face attributes in the wild.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Deep learning face attributes in the wild

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:30.190540Z

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Observation 55b4b0da-82a7-44ea-b5f8-63f1e2131521 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:30.171283Z

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Observation be1c8d43-4bdf-4fcd-ad34-1f8efae0b2e6 · outbound

This paper cites Microstructure reconstruction of 2d/3d random materials via diffusion-based deep generative models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Microstructure reconstruction of 2d/3d random materials via diffusion-based deep generative models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:30.059200Z

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Observation 9467efb3-9fb4-4aed-8034-3fa38fba58e5 · outbound

This paper cites Gianforcaro, Santiago Orrego, Maobin Yang, and Peter I.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Gianforcaro, Santiago Orrego, Maobin Yang, and Peter I

Reference 53

Resolution: verified exact; doi, observed 2026-08-16T04:18:28.172150Z

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Observation fa99cfdb-3efe-4f49-9535-4e6fec18d585 · outbound

This paper cites High accuracy capillary network representation in digital rock reveals permeability scaling functions.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling High accuracy capillary network representation in digital rock reveals permeability scaling functions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:30.033676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65e13dcf-a6df-4f16-8e84-30823564553c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Improved denoising diffusion probabilistic models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:26.432361Z

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Unavailable: canonical work link unavailable.

Observation d8b97a0b-0414-41da-8f14-159279ecb1a4 · outbound

This paper cites Process based reconstruction of sandstones and prediction of transport properties.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Process based reconstruction of sandstones and prediction of transport properties

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.996884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc9d5126-4d6b-4f2e-ba04-e69bd5044bcd · outbound

This paper cites A practical model for organic richness from porosity and resistivity logs.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling A practical model for organic richness from porosity and resistivity logs

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.878553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b2e4d6e-e399-4142-bf1d-d03d934bb1a0 · outbound

This paper cites Microstructural influence on electrochemical devices.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Microstructural influence on electrochemical devices

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.809128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b43a06ed-adf3-4ec7-8eb3-dd5e63420264 · outbound

This paper cites Rotskoff, and Lexing Ying.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Rotskoff, and Lexing Ying

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.787834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d7887ad-1324-48bc-b846-582c7b20ca40 · outbound

This paper cites The Fokker-Planck Equation.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling The Fokker-Planck Equation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.698421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 741d0d8b-c79f-4635-af98-1bb9b64340ea · outbound

This paper cites Generative Modelling With Inverse Heat Dissipation.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Generative Modelling With Inverse Heat Dissipation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:26.778656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b810ef-8429-4636-97cf-a2f7583bb59b · outbound

This paper cites Santos and Yen Ting Lin.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Santos and Yen Ting Lin

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.672117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2edb9f4e-b15d-4858-a2b3-34324bb2e820 · outbound

This paper cites Santos, Zachary R.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Santos, Zachary R

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.655835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c16053fa-4562-4adf-a80c-a51d7e2e108c · outbound

This paper cites Simpli- fied and generalized masked diffusion for discrete data.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Simpli- fied and generalized masked diffusion for discrete data

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.639261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df4f842d-2738-4771-aaa8-4d499432acf9 · outbound

This paper cites Materials for electrochemical capacitors.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Materials for electrochemical capacitors

Reference 65

Resolution: verified exact; doi, observed 2026-08-16T04:18:28.000589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 807af72e-dba3-4013-8e22-8e47970c5d36 · outbound

This paper cites Deep unsu- pervised learning using nonequilibrium thermodynamics.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Deep unsu- pervised learning using nonequilibrium thermodynamics

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:26.806536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5ab9c4-cb06-4b98-97ab-c382eac441aa · outbound

This paper cites Denoising diffusion implicit models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Denoising diffusion implicit models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:26.812182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f19d51-b8fc-4691-854f-2fa322b5cc51 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Generative modeling by estimating gradients of the data distribution

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:26.818392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37918ad2-04f3-4dee-96ce-96476f96f30e · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.528408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 953be6e4-07f3-4aa1-a7a7-75dfe846594f · outbound

This paper cites Score-based Continuous- time Discrete Diffusion Models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Score-based Continuous- time Discrete Diffusion Models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.510105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ea852de-56e2-40af-9265-d0ab3536bd77 · outbound

This paper cites Binomial leap methods for simulating stochastic chemical kinetics.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Binomial leap methods for simulating stochastic chemical kinetics

Reference 71

Resolution: verified exact; doi, observed 2026-08-16T04:18:27.878203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18fc20cb-05dd-46c9-aff8-e24127f08594 · outbound

This paper cites Random heterogeneous materials: microstructure and macroscopic proper- ties.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Random heterogeneous materials: microstructure and macroscopic proper- ties

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.490906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c8bf4d23-5164-46a7-af0c-17e1c361cf60 · outbound

This paper cites an unresolved cited work.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:27.071877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069e8581-2c5e-4546-b6a8-5fd8aa53eec9 · outbound

This paper cites Resolving the discrepancy in tortuosity factor estimation for li-ion battery electrodes through micro-macro modeling and experiment.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Resolving the discrepancy in tortuosity factor estimation for li-ion battery electrodes through micro-macro modeling and experiment

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.454493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f797415-90d4-4901-8e53-171015168150 · outbound

This paper cites Stochastic Processes in Physics and Chemistry.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Stochastic Processes in Physics and Chemistry

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.330329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5c9a388-0b1c-40f6-808e-5991801b89e2 · outbound

This paper cites Bovik, H.R.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Bovik, H.R

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.286320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ba14147-040d-45fc-a43e-78e15e79b35e · outbound

This paper cites Weber and Erwin Frey.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Weber and Erwin Frey

Reference 77

Resolution: verified exact; doi, observed 2026-08-16T04:18:27.846773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 476f5b22-de21-4bea-b722-7ede8f36bed6 · outbound

This paper cites Bridging discrete and continuous state spaces: exploring the ehrenfest process in time-continuous diffusion models.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Bridging discrete and continuous state spaces: exploring the ehrenfest process in time-continuous diffusion models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.267987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e48c134-a9e5-4af9-9660-211c3ee15116 · outbound

This paper cites Phase equilibria and thermodynamic properties in the fe-cr system.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Phase equilibria and thermodynamic properties in the fe-cr system

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.200468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad4f205a-b444-436d-8b17-4a6dc060f14a · outbound

This paper cites an unresolved cited work.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 80

Resolution: verified exact; doi, observed 2026-08-16T04:18:27.775037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 038d11e6-db2e-4e06-bb8d-023daad86e82 · outbound

This paper cites 1"s, while very high intensities produce over- saturated, bold structures such as.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling 1"s, while very high intensities produce over- saturated, bold structures such as

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:18:29.065932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bd8b10f-8d31-4d6d-a469-52b84f25c35e · outbound

This paper cites doi: 10.1016/0021-9991(76)90041-3.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling doi: 10.1016/0021-9991(76)90041-3

Reference 1976

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:25.799305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed43c9ef-3764-4bae-8cfd-98540573a277 · outbound

This paper cites an unresolved cited work.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:27.093332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35558ff-699c-4868-af21-a551dcae4baa · outbound

This paper cites an unresolved cited work.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 2010

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:18:30.490593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfca9314-a617-4313-9f62-0080ec453d46 · outbound

This paper cites an unresolved cited work.

Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Unresolved cited work

Reference 9606

Resolution: verified exact; doi, observed 2026-08-16T04:18:28.205557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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